Suchergebnisse - coding (algorithmicsicssics OR (algorithm OR algorithmics))

Decoding-Time Language Model Alignment with Multiple Objectives von Shi, Ruizhe, Chen, Yifang, Hu, Yushi, Liu, Alisa, Hajishirzi, Hannaneh, Smith, Noah A., Du, Simon S.

Inhaltsangabe: “… -objective decoding (MOD)}$, a decoding-time algorithm that outputs the next token from a linear combination …”
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M${}^2$NuFFT: A Computationally Efficient Suboptimal Power Spectrum Estimator for Fast Exploration of Nonuniformly Sampled Time Series von Cui, Jie, Brinkmann, Benjamin H., Worrell, Gregory A.

Inhaltsangabe: “… reduces computational burden while maintaining statistical efficiency. The algorithm partitions the signal …”
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The Chandra Source Catalog Release 2 Series von Evans, Ian N., Evans, Janet D., Martínez-Galarza, J. Rafael, Miller, Joseph B., Primini, Francis A., Azadi, Mojegan, Burke, Douglas J., Civano, Francesca M., D'Abrusco, Raffaele, Fabbiano, Giuseppina, Graessle, Dale E., Grier, John D., Houck, John C., Lauer, Jennifer, McCollough, Michael L., Nowak, Michael A., Plummer, David A., Rots, Arnold H., Siemiginowska, Aneta, Tibbetts, Michael S.

Inhaltsangabe: “… source samples. We discuss in detail the algorithms used for the CSC Release 2 Series, including CSC 2.0 …”
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On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification von Prakash, Jatin, Buvanesh, Anirudh, Santra, Bishal, Saini, Deepak, Yadav, Sachin, Jiao, Jian, Prabhu, Yashoteja, Sharma, Amit, Varma, Manik

Inhaltsangabe: “… document set. XC algorithms used in real-world applications learn this mapping from datasets curated from …”
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MADNESS Deblender: Maximum A posteriori with Deep NEural networks for Source Separation von Biswas, Biswajit, Aubourg, Eric, Boucaud, Alexandre, Guinot, Axel, Lao, Junpeng, Roucelle, Cécile, Collaboration, the LSST Dark Energy Science

Inhaltsangabe: “… residual systematic effect. Deblending algorithms tackle this issue by reconstructing the isolated …”
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HybridFlow: A Flexible and Efficient RLHF Framework von Sheng, Guangming, Zhang, Chi, Ye, Zilingfeng, Wu, Xibin, Zhang, Wang, Zhang, Ru, Peng, Yanghua, Lin, Haibin, Wu, Chuan

Inhaltsangabe: “… , allowing efficient operation orchestration to implement RLHF algorithms and flexible mapping …”
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Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding von Teng, Yao, Shi, Han, Liu, Xian, Ning, Xuefei, Dai, Guohao, Wang, Yu, Li, Zhenguo, Liu, Xihui

Inhaltsangabe: “… in substantial time consumption. In existing studies, Jacobi decoding, an iterative parallel decoding algorithm …”
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Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification von Luo, Yihong, Chen, Yuhan, Qiu, Siya, Wang, Yiwei, Zhang, Chen, Zhou, Yan, Cao, Xiaochun, Tang, Jing

Inhaltsangabe: “… to the base optimizer (e.g., Adam). To mitigate this drawback, we introduce a novel algorithm, Fast Graph …”
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Layered LA-MAPF: a decomposition of large agent MAPF instance to accelerate solving without compromising solvability von Yao, Zhuo

Inhaltsangabe: “… MAPF algorithms assume that an agent occupies only a single grid in a grid-based map. This assumption …”
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GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks von Liang, Ruihuai, Yang, Bo, Chen, Pengyu, Cao, Xuelin, Yu, Zhiwen, Debbah, Mérouane, Niyato, Dusit, Poor, H. Vincent, Yuen, Chau

Inhaltsangabe: “… training datasets. The MSCO datasets has open-sourced at this http URL, as well as the GDSG algorithm codes …”
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Natural Language Fine-Tuning von Liu, Jia, Wang, Yue, Lin, Zhiqi, Chen, Min, Hao, Yixue, Hu, Long

Inhaltsangabe: “… reinforcement fine-tuning algorithms in accuracy, time-saving, and resource conservation. Additionally …”
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SEDD: Scalable and Efficient Dataset Deduplication with GPUs von Son, Youngjun, Kim, Chaewon, Lee, Jaejin

Inhaltsangabe: “… is the MinHash Locality-Sensitive Hashing (LSH) algorithm. Recently, GPU-accelerated frameworks such as NVIDIA …”
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Fast and Accurate Identification of Hardware Trojan Locations in Gate-Level Netlist using Nearest Neighbour Approach integrated with Machine Learning Technique von Chattopadhyay, Anindita, Bisariya, Siddharth, Sutrakar, Vijay Kumar

Inhaltsangabe: “… . By focusing on path retrace algorithms. The methodology is validated across three distinct cases, each …”
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Pre-Equalization Aided Grant-Free Massive Access in Massive MIMO System von Wang, Yueqing, Mei, Yikun, Gao, Zhen, Wan, Ziwei, Ning, Boyu, Mi, De, Muhaidat, Sami

Inhaltsangabe: “… iterative detection algorithm, which consists of three modules: coarse data detection (DD), data-aided …”
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Architecture-Aware Minimization (A$^2$M): How to Find Flat Minima in Neural Architecture Search von Gambella, Matteo, Pittorino, Fabrizio, Roveri, Manuel

Inhaltsangabe: “… novel analytically derived algorithmic framework that explicitly biases, for the first time …”
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HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference von Zhong, Shuzhang, Sun, Yanfan, Liang, Ling, Wang, Runsheng, Huang, Ru, Li, Meng

Inhaltsangabe: “… prefetching algorithm, and (iii) a score-based caching algorithm to mitigate expert activation instability. We …”
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Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? von Yue, Yang, Chen, Zhiqi, Lu, Rui, Zhao, Andrew, Wang, Zhaokai, Yue, Yang, Song, Shiji, Huang, Gao

Inhaltsangabe: “… algorithms, and math, coding, and visual reasoning benchmarks, using pass@k at large k values …”
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Adversarial Attack for RGB-Event based Visual Object Tracking von Chen, Qiang, Wang, Xiao, Wang, Haowen, Jiang, Bo, Zhu, Lin, Zhang, Dawei, Tian, Yonghong, Tang, Jin

Inhaltsangabe: “… stream tracking algorithms, yet research in this area remains relatively scarce. To bridge this gap …”
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Transforming faces into video stories -- VideoFace2.0 von Brkljač, Branko, Kalušev, Vladimir, Popović, Branislav, Sečujski, Milan

Inhaltsangabe: “… applicability of the proposed face ReID algorithm that is combining the concepts of face detection, face …”
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Dynamic Graph-based Fingerprinting of In-browser Cryptomining von Sermchaiwong, Tanapoom, Shen, Jiasi

Inhaltsangabe: “… , and due to the limited variety of cryptomining scripts in the wild, standard code obfuscation methods …”
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